{"id":"W2109589414","doi":"10.1002/rob.20151","title":"Real‐time trajectory resolution for a two‐manipulator machining system","year":2006,"lang":"en","type":"article","venue":"Journal of Robotic Systems","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Institute of Nuclear Energy Research","keywords":"Machining; Control theory (sociology); Torque; Trajectory; Blank; Process (computing); Computer science; Control engineering; Robot; Engineering; Simulation; Mechanical engineering; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003698202,0.0005211537,0.00027658,0.0002033033,0.0002926217,0.0004439083,0.0004322701,0.0004894469,0.002309181],"category_scores_gemma":[0.0007930861,0.000165485,0.000150772,0.0001602991,0.0003097075,0.0002874953,0.0003670407,0.0005143888,0.0002437952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129235,"about_ca_system_score_gemma":0.000622917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003746849,"about_ca_topic_score_gemma":0.002355875,"domain_scores_codex":[0.9998505,0.00002978039,0.000007760179,0.00002902801,0.00006562065,0.00001721788],"domain_scores_gemma":[0.9997211,0.000113547,0.00004650371,0.00002940514,0.00005849734,0.00003087919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006175124,0.0001474781,0.0009054667,0.0001766028,0.00002685822,0.0005072709,0.0003546786,0.7615832,0.06668679,0.006423707,0.001434629,0.1611359],"study_design_scores_gemma":[0.00003629151,0.00008141446,0.0001537359,0.000002949729,0.000002167419,0.00002844658,0.000008678901,0.995055,0.003650537,0.0003937286,0.000581649,0.000005525718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1544576,0.0001918199,0.8375669,0.0002459582,0.00004645358,0.0001551875,0.00007244666,0.002593246,0.004670318],"genre_scores_gemma":[0.8710715,0.00004595778,0.1267905,0.00002058908,0.000006962954,0.00008351294,0.00005480026,0.0000207638,0.001905475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003746849,"threshold_uncertainty_score":0.007724941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054258800559068,"score_gpt":0.2102854042878031,"score_spread":0.1997428162822124,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}